Model Comparison
GLM-5 vs ERNIE 4.5
Comparing GLM-5 and ERNIE 4.5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 and ERNIE 4.5 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 2.5x more expensive than ERNIE 4.5 ($0.40/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 1.3x cheaper than ERNIE 4.5 ($4.00/1M tokens).
In conclusion, GLM-5 is more expensive than ERNIE 4.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 723.0B more parameters than ERNIE 4.5, making it 3442.9% larger.
Context Window
Maximum input and output token capacity
GLM-5 accepts 200,000 input tokens compared to ERNIE 4.5's 128,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while ERNIE 4.5 is limited to 65,536 tokens.
License
Usage and distribution terms
GLM-5 is licensed under MIT, while ERNIE 4.5 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while ERNIE 4.5 was released on 2025-06-25.
GLM-5 is 8 months newer than ERNIE 4.5.
Feb 11, 2026
2 months ago
7mo newerJun 25, 2025
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5 is available from ZAI. ERNIE 4.5 is available from Novita.
GLM-5
ERNIE 4.5
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
FAQ
Common questions about GLM-5 vs ERNIE 4.5